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Identifying vars based on high frequency futures data

  • Jon Faust
  • Eric T. Swanson
  • Jonathan H. Wright

Using the prices of federal funds futures contracts, we measure the impact of the surprise component of Federal Reserve policy decisions on the expected future trajectory of interest rates. We show how this information can be used to identify the effects of a monetary policy shock in a standard monetary policy VAR. This constitutes an alternative approach to identification that is quite different, and, we would argue, more plausible, than the conventional short-run restrictions. We find that the usual recursive identification of the model is rejected, but we nevertheless agree with the literature's conclusion that only a small fraction of the variance of output can be attributed to monetary policy shocks.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number 720.

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Date of creation: 2002
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Handle: RePEc:fip:fedgif:720
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  1. Bagliano, Fabio C. & Favero, Carlo A., 1999. "Information from financial markets and VAR measures of monetary policy," European Economic Review, Elsevier, vol. 43(4-6), pages 825-837, April.
  2. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  3. Robert G. King & Mark W. Watson, 1997. "Testing long-run neutrality," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 69-101.
  4. Margaret M. McConnell & Gabriel Perez Quiros, 1998. "Output fluctuations in the United States: what has changed since the early 1980s?," Staff Reports 41, Federal Reserve Bank of New York.
  5. Barth, Marvin J III & Ramey, Valerie A, 2000. "The Cost Channel of Monetary Transmissions," University of California at San Diego, Economics Working Paper Series qt7rm5q9sk, Department of Economics, UC San Diego.
  6. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 907-31, November.
  7. Cragg, John G. & Donald, Stephen G., 1997. "Inferring the rank of a matrix," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 223-250.
  8. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, Oxford University Press, vol. 113(3), pages 869-902.
  9. Soderlind, P & Svensson, L-E-O, 1996. "New Techniques to Extract Market Expectations from Financial Instruments," Papers 621, Stockholm - International Economic Studies.
  10. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 1994. "The effects of monetary policy shocks: evidence from the Flow of Funds," Working Paper Series, Macroeconomic Issues 94-2, Federal Reserve Bank of Chicago.
  11. Lawrence J. Christiano & Martin Eichenbaum, 1992. "Liquidity Effects and the Monetary Transmission Mechanism," NBER Working Papers 3974, National Bureau of Economic Research, Inc.
  12. Jean-Marie Dufour, 1997. "Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models," Econometrica, Econometric Society, vol. 65(6), pages 1365-1388, November.
  13. Refet S. Gürkaynak & Brian P. Sack & Eric T. Swanson, 2002. "Market-based measures of monetary policy expectations," Finance and Economics Discussion Series 2002-40, Board of Governors of the Federal Reserve System (U.S.).
  14. Kenneth N. Kuttner, 2000. "Monetary policy surprises and interest rates: evidence from the Fed funds futures markets," Staff Reports 99, Federal Reserve Bank of New York.
  15. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
  16. Robertson, John C & Tallman, Ellis W, 2001. "Improving Federal-Funds Rate Forecasts in VAR Models Used for Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(3), pages 324-30, July.
  17. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1996. "Sticky Price and Limited Participation Models of Money: A Comparison," NBER Working Papers 5804, National Bureau of Economic Research, Inc.
  18. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
  19. Ellingsen, Tore & Söderström, Ulf, 1998. "Monetary Policy and Market Interest Rates," SSE/EFI Working Paper Series in Economics and Finance 242, Stockholm School of Economics, revised 08 Mar 1999.
  20. Ben Bernanke, 1990. "The Federal Funds Rate and the Channels of Monetary Transnission," NBER Working Papers 3487, National Bureau of Economic Research, Inc.
  21. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
  22. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1997. "Monetary policy shocks: what have we learned and to what end?," Working Paper Series, Macroeconomic Issues WP-97-18, Federal Reserve Bank of Chicago.
  23. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
  24. James H. Stock & Jonathan Wright, 2000. "GMM with Weak Identification," Econometrica, Econometric Society, vol. 68(5), pages 1055-1096, September.
  25. Joel T. Krueger & Kenneth N. Kuttner, 1995. "The Fed funds futures rate as a predictor of Federal Reserve policy," Working Paper Series, Macroeconomic Issues 95-4, Federal Reserve Bank of Chicago.
  26. Monika Piazzesi, 2002. "The Fed and Interest Rates - A High-Frequency Identification," American Economic Review, American Economic Association, vol. 92(2), pages 90-95, May.
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